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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    phrases related to water crisis in Flint, Michigan

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Flint

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.84
    mble
    -0.79
    asin
    -0.72
    ISM
    -0.71
    ccording
    -0.70
    VIDIA
    -0.69
    gger
    -0.69
    ICES
    -0.69
    */(
    -0.67
     satell
    -0.65
    POSITIVE LOGITS
    stones
    1.27
    shire
    1.04
     Flint
    0.93
    stone
    0.92
    lock
    0.78
    wall
    0.78
    ridge
    0.78
    lings
    0.77
    street
    0.74
    brook
    0.74
    Activations Density 0.009%

    No Known Activations